25 citations · 166 across the 22 of their papers we have counts for
6 papers · 1 filter
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework
Chenxin Tao, Honghui Wang, Xizhou Zhu +4
Self-supervised learning has shown its great potential to extract powerful visual representations without human annotations. Various works are proposed to deal with self-supervised…
On the Integration of Self-Attention and Convolution
Xuran Pan, Chunjiang Ge, Rui Lu +4
Convolution and self-attention are two powerful techniques for representation learning, and they are usually considered as two peer approaches that are distinct from each other. In…
Fine-Grained Few Shot Learning with Foreground Object Transformation
Chaofei Wang, Shiji Song, Qisen Yang +2
Traditional fine-grained image classification generally requires abundant labeled samples to deal with the low inter-class variance but high intra-class variance problem. However,…
CAM-loss: Towards Learning Spatially Discriminative Feature Representations
Chaofei Wang, Jiayu Xiao, Yizeng Han +3
The backbone of traditional CNN classifier is generally considered as a feature extractor, followed by a linear layer which performs the classification. We propose a novel loss fun…
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition
Yulin Wang, Rui Huang, Shiji Song +2
Vision Transformers (ViT) have achieved remarkable success in large-scale image recognition. They split every 2D image into a fixed number of patches, each of which is treated as a…
Anisotropic transport and de Haasvan Alphen oscillations in quasi-one-dimensional TaPtTe
Wen-He Jiao, Shaozhu Xiao, Bin Li +11
Because of the unique physical properties and potential applications, the exploration of quantum materials with diverse symmetry-protected topological states has attracted consider…